Yi Fang

A Utility Maximization Framework for Privacy Preservation of User Generated Content

2016

The prodigious amount of user-generated content continues to grow at an enormous rate. While it greatly facilitates the flow of information and ideas among people and communities, it may pose great threat to our individual …

Towards Interpretable Feature Representation for Domain Adaptation Problem

2022

Deep convolutional neural networks (CNNs) have witnessed a great progress in visual recognition over the past years. However, deep CNN models are still suffering from the domain adaptation problem. Most of the existing methods try …

UniGLM: Training One Unified Language Model for Text-Attributed Graph Embedding

2024 · arXiv (Cornell University)

Representation learning on text-attributed graphs (TAGs), where nodes are represented by textual descriptions, is crucial for textual and relational knowledge systems and recommendation systems. Currently, state-of-the-art embedding methods for TAGs primarily focus on fine-tuning language …

A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics

2025 · arXiv (Cornell University)

Recent progress in large language models (LLM) found chain-of-thought prompting strategies to improve the reasoning ability of LLMs by encouraging problem solving through multiple steps. Therefore, subsequent research aimed to integrate the multi-step reasoning process …

Collaborative Memory Network for Recommendation Systems

2018

Recommendation systems play a vital role to keep users engaged with personalized content in modern online platforms. Deep learning has revolutionized many research fields and there is a recent surge of interest in applying it …